About Me

I am a third year PhD student in Computer Science at Georgia Tech. My advisor is Dr. Alex Endert, director of the Visual Analytics Lab. My research interests lie in understanding users' cognitive biases based on their patterns of interaction.


E. Wall, L. Blaha, L. Franklin, and A. Endert, "Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics", IEEE Visual Analytics Science and Technology (VAST), 2017. [PDF] [Talk] [Video] [Video FF]

E. Wall, S. Das, R. Chawla, B. Kalidindi, E. Brown, and A. Endert, "Podium: Ranking Data Using Mixed-Initiative Visual Analytics", IEEE Transactions on Visualization and Computer Graphics (Proc. VAST'17), 2017. [PDF] [Talk] [Video] [Video FF] [Demo]

E. Wall, L. Blaha, C. Paul, K. Cook, and A. Endert, "Four Perspectives on Human Bias in Visual Analytics", DECISIVe: Workshop on Dealing with Cognitive Biases in Visualizations (at InfoVis'17), 2017. [PDF]

S.K. Badam, Z. Zeng, E. Wall, A. Endert, and N. Elmqvist, "Supporting Team-First Visual Analytics through Group Activity Representations", Graphics Interface, 2017. [PDF] [Video]

B.C. Kwon, H. Kim, E. Wall, J. Choo, H. Park, and A. Endert, "AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings", IEEE Visual Analytics Science and Technology (VAST), 2016. [PDF] [Video]


E. Wall, S. Das, R. Chawla, and A. Endert, Podium: Ranking Data Using Mixed-Initiative Visual Analytics, Presented at CRA-W Grad Cohort, San Diego, CA, April 2016, and Presented at Georgia Tech GVU Demo Showcase, Atlanta, GA, April 2016.


[PDF] - Updated 2017-12-04


Email: emilywall (at) gatech.edu
Web: cc.gatech.edu/~ewall9
LinkedIn: emilybwall
Twitter: @embwall
Office: Technology Square Research Building (TSRB) 334